Job Summary

Job Description

What is the opportunity?

As a senior experienced engineer, you will be responsible for building and managing data platforms and pipelines for Data Science with appropriate data governance and security.  You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable data pipeline and democratize data. You will participate in the architecture review and approval process.  You will be also responsible for working closely with data scientists in the area of data ingestion and feature engineering, establishing coding best practices, maintaining and managing technical documentation and incident triaging and resolution.

What will you do?

As part of the Data Engineering team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.

Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting, Gamification/Visualization).

Prepare data to be used for diagnostic/descriptive reporting and data science work.

Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms

Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated data

Identify and resolve data movement/transformation/processing bottlenecks

Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.

Mentor junior team members

What do you need to succeed?

Must Have:

Bachelor’s degree in Computer Science, Engineering or equivalent

Experienced in building end to end data pipelines

Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions

Advanced SQL knowledge and experience working with relational databases

Experience in developing scalable, configurable applications using Python and application frameworks

Knowledge of relevant security considerations for applications on cloud

Knowledge of VMs and various MLOps platforms such as WandB, AWS SageMaker

Knowledge of AWS

5+ years of hands-on experience in following key areas:

Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Scala

API: Flask, Node.JS, Django, and Microservices technologies

Automation/DevOps: Github Actions, Airflow, UCD, Selenium and similar technologies

Cloud technologies: Openshift, PCF, Docker, Kubernetes

Git & code version management

​Nice to Have

Master’s degree in Computer Science, Engineering, or equivalent

Supervised and Unsupervised Machine learning, Natural Language Processing

Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration

Experience working in agile environment

Tableau

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

#LI-Post

#TechPJ

Job Skills

Agile Methodology, Big Data, Big Data Management, Cloud Computing, Database Development, Database Queries, Data Ingestion, Data Lake, Data Mining, Data Movement, Data Pipelines, Data Warehousing (DW), ETL Processing, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis

Additional Job Details

Address:

BAY WELLINGTON TOWER, 181 BAY ST:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CHIEF LEGAL & ADMIN OFFICE GRP

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-07-10

Application Deadline:

2025-07-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.